Critique of "Computing Planetary Interior Normal Modes with a Highly Parallel Polynomial Filtering Eigensolver" by SCC Team from National Tsing Hua University

In this paper we present our results from the SC19 Student Cluster Competition Reproducibility Challenge. The challenge entails reproducing the paper entitled "Computing Planetary Interior Normal Modes with A Highly Parallel Polynomial Filtering Eigensolver'' presented at SC18, which proposes a parallel polynomial filtered Lanczos algorithm to directly calculate the planetary normal modes of heterogeneous planets. The proposed algorithm showed excellent performance with relatively low memory consumption and high parallel efficiency. In this work, we reproduce the scaling tests in that paper on a cluster using Intel Cascade Lake architecture and use the proposed algorithm to illustrate specific normal modes of Mars. We compare the results obtained on our cluster with those in the original paper. We also design a new metric to better analyze the results. In addition, we use the profiling tool Intel VTune Amplifier to explain our discoveries. Our results demonstrate that the given models show great scalability, which is similar to the original paper. The required normal modes of Mars are also successfully calculated and visualized.